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Last pushed: 2 years ago
Short Description
One Command Classify Image through the Imagenet sample classifier built into tensor flow.
Full Description

#Imagenet Tensorflow

Single command imagenet classifier run through docker.

Use the following command for the default image:

docker run atong01/imagenet-tensorflow python classify_image.py

or

sh run.sh

expected output

running on default
-----------------------------------------------------------------------------
giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca (score = 0.89233)
indri, indris, Indri indri, Indri brevicaudatus (score = 0.00859)
lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens (score = 0.00264)
custard apple (score = 0.00141)
earthstar (score = 0.00107)

Or, to use your own image file:

docker run -v $PWD:/root/tmp:ro atong01/imagenet-tensorflow python classify_image.py --image_file tmp/$(IMAGE)

or

sh run.sh $(IMAGE)

Where $(IMAGE) is the imagename, note that your $PWD must be a parent directory of your imagefile.

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atong01
Source Repository